# Google Cloud Monitoring Output Plugin

This plugin writes metrics to a `project` in
[Google Cloud Monitoring][stackdriver] (formerly called Stackdriver).
[Authentication][authentication] with Google Cloud is required using either a
service account or user credentials.

> [!IMPORTANT]
> This plugin accesses APIs which are [chargeable][pricing] and might incur
> costs.

By default, Metrics are grouped by the `namespace` variable and metric key,
eg: `custom.googleapis.com/telegraf/system/load5`. However, this is not the
best practice. Setting `metric_name_format = "official"` will produce a more
easily queried format of: `metric_type_prefix/[namespace_]name_key/kind`. If
the global namespace is not set, it is omitted as well.

⭐ Telegraf v1.9.0
🏷️ cloud, datastore
💻 all

## Global configuration options <!-- @/docs/includes/plugin_config.md -->

Plugins support additional global and plugin configuration settings for tasks
such as modifying metrics, tags, and fields, creating aliases, and configuring
plugin ordering. See [CONFIGURATION.md][CONFIGURATION.md] for more details.

[CONFIGURATION.md]: ../../../docs/CONFIGURATION.md#plugins

## Secret-store support

This plugin supports secrets from secret-stores for the `token` option.
See the [secret-store documentation][SECRETSTORE] for more details on how
to use them.

[SECRETSTORE]: ../../../docs/CONFIGURATION.md#secret-store-secrets

## Configuration

```toml @sample.conf
# Configuration for Google Cloud Stackdriver to send metrics to
[[outputs.stackdriver]]
  ## GCP Project
  project = "erudite-bloom-151019"

  ## GCP access token for authorizing calls to Cloud Monitoring APIs
  # token = "@{gcp_auth:token}"

  ## Quota Project
  ## Specifies the Google Cloud project that should be billed for metric ingestion.
  ## If omitted, the quota is charged to the service account’s default project.
  ## This is useful when sending metrics to multiple projects using a single service account.
  ## The caller must have the `serviceusage.services.use` permission on the specified project.
  # quota_project = ""

  ## The namespace for the metric descriptor
  ## This is optional and users are encouraged to set the namespace as a
  ## resource label instead. If omitted it is not included in the metric name.
  namespace = "telegraf"

  ## Metric Type Prefix
  ## The DNS name used with the metric type as a prefix.
  # metric_type_prefix = "custom.googleapis.com"

  ## Metric Name Format
  ## Specifies the layout of the metric name, choose from:
  ##  * path: 'metric_type_prefix_namespace_name_key'
  ##  * official: 'metric_type_prefix/namespace_name_key/kind'
  # metric_name_format = "path"

  ## Metric Data Type
  ## By default, telegraf will use whatever type the metric comes in as.
  ## However, for some use cases, forcing int64, may be preferred for values:
  ##   * source: use whatever was passed in
  ##   * double: preferred datatype to allow queries by PromQL.
  # metric_data_type = "source"

  ## Tags as resource labels
  ## Tags defined in this option, when they exist, are added as a resource
  ## label and not included as a metric label. The values from tags override
  ## the values defined under the resource_labels config options.
  # tags_as_resource_label = []

  ## Custom resource type
  # resource_type = "generic_node"

  ## Override metric type by metric name
  ## Metric names matching the values here, globbing supported, will have the
  ## metric type set to the corresponding type.
  # metric_counter = []
  # metric_gauge = []
  # metric_histogram = []

  ## NOTE: Due to the way TOML is parsed, tables must be at the END of the
  ## plugin definition, otherwise additional config options are read as part of
  ## the table

  ## Additional resource labels
  # [outputs.stackdriver.resource_labels]
  #   node_id = "$HOSTNAME"
  #   namespace = "myapp"
  #   location = "eu-north0"
```

## Restrictions

Stackdriver does not support string values in custom metrics, any string fields
will not be written.

The Stackdriver API does not allow writing points which are out of order, older
than 24 hours, or more with resolution greater than than one per point minute.
Since Telegraf writes the newest points first and moves backwards through the
metric buffer, it may not be possible to write historical data after an
interruption.

Points collected with greater than 1 minute precision may need to be aggregated
before then can be written.  Consider using the [basicstats][] aggregator to do
this.

Histograms are supported only via metrics generated via the Prometheus metric
version 1 parser. The version 2 parser generates sparse metrics that would need
to be heavily transformed before sending to Stackdriver.

Note that the plugin keeps an in-memory cache of the start times and last
observed values of all COUNTER metrics in order to comply with the requirements
of the stackdriver API.  This cache is not GCed: if you remove a large number of
counters from the input side, you may wish to restart telegraf to clear it.

[basicstats]: /plugins/aggregators/basicstats/README.md
[stackdriver]: https://cloud.google.com/monitoring/api/v3/
[authentication]: https://cloud.google.com/docs/authentication/getting-started
[pricing]: https://cloud.google.com/stackdriver/pricing#google-clouds-operations-suite-pricing
